Replication Materials
MakeTruth.org is committed to fostering a culture of transparency and reproducibility in academic research. In this section, we provide access to the essential materials needed to replicate our published studies, allowing for independent verification of our findings.
Our Commitment to Reproducibility
Reproducibility is a cornerstone of sound scientific practice. By making our data, code, and methodological details openly available, we aim to:
- Enhance Trust: Allow the academic community and public to independently verify our results.
- Facilitate Collaboration: Enable other researchers to build upon our work and advance collective knowledge.
- Promote Open Science: Contribute to the broader movement of open and transparent research practices.
What You'll Find Here
Raw & Processed Data
Anonymized datasets used in our analyses, often provided in common formats (CSV, Excel, JSON) with clear documentation on variables and data collection methods.
Analysis Code
Scripts and notebooks (e.g., R scripts, Python notebooks, Stata .do files) used for data cleaning, statistical analysis, and visualization, with comments for clarity.
Detailed Methodological Protocols
Step-by-step guides and supplementary information on research design, experimental procedures, survey instruments, and data processing pipelines.
Software & Environment Information
Details on the software versions, libraries, and computational environment required to run the analysis code, often including Dockerfiles or Conda environment files.
Accessing Materials
Replication materials are typically linked from the respective published papers or working papers. For larger datasets or complex code repositories, links to external platforms like GitHub or dedicated data archives will be provided.
We continuously strive to improve our reproducibility practices. For any questions or assistance with replication, please contact our research support team.